Triple

T10408709
Position Surface form Disambiguated ID Type / Status
Subject Post-Soviet states E245331 entity
Predicate commonPoliticalLegacy P25224 FINISHED
Object communist one-party system LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: communist one-party system | Statement: [Post-Soviet states, commonPoliticalLegacy, communist one-party system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commonPoliticalLegacy
Context triple: [Post-Soviet states, commonPoliticalLegacy, communist one-party system]
  • A. politicalLegacyIncludes chosen
    Indicates that one entity’s political legacy encompasses, influences, or is carried forward by another entity.
  • B. hasPoliticalSignificanceFor
    Indicates that something holds importance, influence, or consequence within the political context or interests of a particular entity.
  • C. hasPoliticalCharacteristic
    Indicates that an entity possesses a specific political attribute, quality, or affiliation.
  • D. notablePolis
    Indicates that one entity is a city-state (polis) that holds particular historical, cultural, or political significance in relation to another entity.
  • E. notablePolitician
    Indicates that the subject is a politician who is recognized as notable or significant in a political context.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9faa97c819092cadedadabe26bf completed April 7, 2026, 11:26 a.m.
PD Predicate disambiguation batch_69d4dfb6f160819090040644a12395ec completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:09 p.m.